Daniel Neagu
2013
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Daniel Neagu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel Neagu's perspective
Ordered by how strongly the researchers Daniel Neagu trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Principles of Data Mining
- Best Practices for QSAR Model Development, Validation, and Exploitation
- How to Explain Individual Classification Decisions
- Classification and Regression by randomForest
- Interpreting linear support vector machine models with heat map molecule coloring
- Interpretation of Nonlinear QSAR Models Applied to Ames Mutagenicity Data
- Visual Interpretation of Kernel‐Based Prediction Models
- Introduction to algorithms
- Neural Networks for Pattern Recognition
Their papers
- Interpreting random forest classification models using a feature contribution method (2013) — 144 citations